International Journal of Science, Engineering and TechnologyAuthors: Smit Khandelwal, Bhavyam Sanghavi, Kiran Kankariya, Ayush Agrawal, Prof. Parag Jambhulkar
Abstract: Long-term investment strategies have been an essential component of portfolio management for both institutional and retail investors. With advancements in computational finance and artificial intelligence, algorithms play a crucial role in optimizing portfolio allocation, risk management, and return maximization. This survey paper provides a comprehensive overview of long-term investment algorithms, including traditional models, rule-based strategies, and machine learning approaches. Furthermore, it compares their advantages and disadvantages, highlighting areas where algorithmic methods can outperform human decision-making and where limitations still exist.
